We derive the shape of optimal unemployment insurance (UI) contracts when agents can exert search effort but face different search costs and have private information about their type. We derive a recursive solution of our dynamic adverse selection problem with repeated moral hazard. Conditions...

A standard hidden information model is considered to study the influence of the a priori productivity distribution on the optimal contract. A priori more productive (hazard rate dominant) agents work less, enjoy lower rents, but generate a higher expected surplus.

In multiple-task hidden-action models, the (mis-)allocation of effort may play an important role for benefit creation. Signals which capture this benefit and which are used in incentive schemes should thus not only be judged by the noise and the associated costs but also by the mis-allocation...

This paper offers a rationale for limiting the delegation of (real) authority, which neither relies on insurance arguments nor depends on ownership structure. We analyse a repeated hidden action model in which the actions of a risk neutral agent determine his future outside option. Consequently,...

Several empirical studies have challenged tournament theory by pointing out that (1) there is considerable pay variation within hierarchy levels, (2) promotion premiums only in part explain hierarchical wage differences and (3) external recruitment is observable on nearly any hierarchy level. We...

We characterize optimal incentive contracts in a moral hazard framework extended in two directions. First, after effort provision, the agent is free to leave and pursue some ex-post outside option. Second, the value of this outside option is increasing in effort, and hence endogenous. Optimal...

Immigrant workers and their labor force participation in host countries have received critical attention in all concerned disciplines, principally owing to its strong implications for well-being of natives. The ageing population in many rich countries and several related and unrelated issues...